Aside

Contact

Skills

Project Links




Disclaimer

Made with the R package pagedown.

The source code is available on https://github.com/ddstats1/resume.

Last updated on 2021-11-13.

Main

Daniel Dulaney

Data enthusiast with ~3 years of analyst experience in an MLB front-office (Pittsburgh). Strong stats/programming background – I especially enjoy data visualization, building R Shiny apps, and automating a nice report. I thrive in team environments and love finding curious, collaborative, thoughtful people to do cool stuff with.

Education

M.S., Statistics

NC State

Online

May 2022 - Aug 2020

  • Coursework includes: Bayesian models, machine learning, technical communication / consulting

B.S., Statistics (minor Philosophy, Economics)

NC State

Raleigh, NC

May 2019 - Aug 2016

  • Coursework includes: Statistical theory, R/Python/SAS, regression/linear models, experimental design
  • Involved with Sports Analytics Club, Doran’s Lab (data science), did independent stats/data projects with profesors, PhD students, and peers

Statistics

UNC-Greensboro

Greensboro, NC

May 2016 - Aug 2014

  • Member of baseball team, Honors College

Industry Experience

Intern/Fellow, Baseball Informatics

Pittsburgh Pirates

Pittsburgh, PA

Dec 2021 - Feb 2019

  • ’20-’21: Draft-focused – data processes with R/SQL, modelling, visualizations, reports, player discovery/evaluation/write-ups
  • ’19: Data/research support for various groups within analytics (draft, advance/major league, international, athlete)
  • Sat in on ’19 scouting leadership, ’20/’21 draft room, ’21 trade deadline meetings

Projects/Research

Undergraduate Research

Stats Department, Doran’s Lab

NC State

May 2019 - July 2017

  • Data projects for NC State baseball team – web scraped box scores, classified pitches with clustering algorithms, automated player/team reports, made various data visualizations
  • Projects with Doran’s Lab (a data science group) – included deep / reinforcement learning reading groups & implementations, data wrangling, visualizations. Good programming practices with Python were emphasized.